Econometric Methods for Modelling Systems With a Mixture of i(1) and i(0) Variables

This paper considers structural models with both I(1) and I(0) variables. The structural shocks associated with either set of variables could be permanent or transitory. We classify the shocks as (P1,P0) and (T1,T0), where P/T distinguishes permanent/transitory, while 1/0 means they are attached to structural equations with either I(1) or I(0) variables as their ‘dependent’ variable. We show that P0 shocks can affect cointegration analysis and provide a formula to compute the permanent component if they are present. Finally, we reformulate a well‐known empirical structural vector autoregression showing the impact of P0 shocks when there are just long‐run parametric and sign restrictions. Copyright © 2015 John Wiley & Sons, Ltd.     

Animal Spirits and the Business Cycle: Empirical Evidence from Moment Matching

In this article, we empirically examine a hybrid New‐Keynesian model with heterogeneous bounded rational agents who may adopt an optimistic or pessimistic attitude—so called animal spirits—toward future movements of the output and inflation gap. The model is estimated via the simulated method of moments using Euro Area data from 1975Q1 to 2009Q4. In addition, we compare its empirical performance to the standard model with rational expectations. Our empirical results show that the model‐generated auto‐ and cross‐covariances of the output, inflation and nominal interest rate gap can provide a good approximation of the empirical second moments.     

Gender Diversity in the Boardroom and Risk Management: A Case of R&D Investment

Increasing gender diversity in the boardroom has been promoted as a way to enhance corporate governance and risk management. This study empirically examines whether boards with more female directors play a role in reducing R&D risk. We first show that female directors help to reduce the positive relationship between R&D investment and future performance volatility. We then report that firms with more gender-diverse boards exhibit a lower adverse effect of R&D on the cost of debt. These results are robust to endogeneity analysis, alternative measures of gender diversity and risky investment, and other sensitivity tests. Overall, our results suggest that female directors improve board effectiveness in risk management with respect to R&D investment.     

Following brands on Twitter: an extension of theory of planned behavior

Due to its immediacy and efficiency, Twitter has recently emerged as a form of marketing communication tool that offers unique advantages for two-way communication between marketers and consumers. This study examines brand-following behavior on Twitter using the Ajzen's model of theory of planned behavior (TPB). Results show that attitude toward brand following, subjective norm, perceived behavioral control, and brand attachment are positively associated with intention to follow brands on Twitter. Consumers’ intention to create (i.e., intention to tweet at brands) and disseminate (i.e., intention to retweet the links of brands) brand-related information, as well as purchase intention, are the outcomes of intention to follow brands on Twitter. Overall findings suggest that TPB model can be used to predict Twitter users’ brand-following behavior. More importantly, our finding that brand attachment drives consumer intention to follow brands on Twitter extends the TPB framework. This study provides both theoretical and managerial implications.     

Are Trade Preferences more Effective than Aid in Supporting Exports? Evidence from the ‘Everything But Arms’ Preference Scheme

This study examines the effect of the ‘Everything But Arms’ (EBA) trade preferences regime on exports from the African, Caribbean and Pacific countries (ACP) to the European Union (EU). With this aim, an augmented gravity model is estimated for exports from the 79 ACP countries to the EU‐15 for the time period of 1995—2013 using panel data techniques. The results are used to quantify the effect of the eligibility for EBA preferences on the export performance of the ACP least developed countries (LDCs) and to relate it to the impact of official development assistance on exports. In addition to their separate effects, the combined impact of EBA and aid flows is examined. The main results do not provide evidence for an additional positive effect of the EBA agreement on the export performance of the ACP LDCs. However, receiving aid shows a significant and positive effect on exports from EBA‐eligible ACP countries to the EU‐15, supporting an EU development strategy that includes both sorts of assistance, aid and trade preferences.     

Heterogeneous Firms,Globalisation and the Distance Puzzle

Despite the strong pace of globalisation, the distance effect on trade is persistent or even growing over time (Disdier and Head, 2008). To solve this distance puzzle, we use the recently developed gravity equation estimator from Helpman et al. (2008) (HMR henceforth). Using three different data sets, we find that the distance coefficient increases over time when ordinary least squares (OLS) is used, while the non‐linear estimation of HMR leads to a decline in the distance coefficient over time. The distance puzzle, thus, arises from a growing bias of OLS estimates. The latter is explained by an increase in the importance of the bias from omitting the number of heterogeneous exporting firms relative to the bias from omitting zero trade flows. Furthermore, we show that including zero trade flows cannot solve the distance puzzle when using HMR. The HMR estimates are strongly correlated with the time pattern in freight costs reported by Hummels (2007).     

Effects of Product Option Framing and Temporal Distance on Consumer Choice: The Moderating Role of Process versus Outcome Mental Simulations

This research demonstrates that the type of product option framing (additive vs. subtractive) and the temporal distance between an option choice and later buying behavior can influence decision difficulty. In two studies, the authors show that consumers who engage in additive option framing experience greater difficulty in making decisions for the near future than for the distant future, whereas consumers who engage in subtractive option framing experience greater difficulty in making decisions for the distant future than for the near future. In addition, by using theories of mental simulation, the authors show that communication strategies that promote process simulations for distant‐future choices in the subtractive option framing condition and those that promote outcome simulations for near‐future choices in the additive option framing condition are most effective in reducing decision difficulty. These effects hold across varying product categories and varying option prices.     

Global Liquidity and Commodity Prices

While monetary easing and increasing participation of financial institutions in commodity trading have enhanced the financialization of commodity markets, this paper investigates empirically whether the impact of global liquidity on commodity prices has grown since the crisis. For each commodity group, this paper uses a structural vector autoregression (SVAR) model to address the short‐run relationship between global liquidity and commodity prices. The key finding is that the effect of global liquidity on commodity prices becomes more salient since the global financial crisis. This paper also suggests a price‐based liquidity indicator has a greater explanatory power for the commodity price dynamics than monetary aggregates.     

VALUATION OF BARRIER OPTIONS VIA A GENERAL SELF‐DUALITY

Classical put–call symmetry relates the price of puts and calls under a suitable dual market transform. One well‐known application is the semistatic hedging of path‐dependent barrier options with European options. This, however, in its classical form requires the price process to observe rather stringent and unrealistic symmetry properties. In this paper, we develop a general self‐duality theorem to develop valuation schemes for barrier options in stochastic volatility models with correlation.